期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：10
页码：5484
出版社：S&S Publications
摘要：Cloud applications are evolving that offer data management services. The applications that involved in heavy I/Oactivities in the Cloud Technology, utilizes most of the services from Caching. Caching the data may be either spatial dataor temporal data. The Local volatile memory might be an alternative support for Cache, but the capacity and the utilizationof host machines reduces its usage. The existing system provided the Cache as a Service (CaaS) model as an additionalservice along with Infrastructure as a Service (IaaS). Particularly, the Cloud Provider sets a large collection of memory thatcan be dynamically separated and allocated to standard infrastructure services as Disk cache. An effective cache mechanismknown as the elastic cache system provides the feasibility of CaaS using dedicated remote memory servers. The novelpricing scheme provides the maximization of cloud profit which gives the guarantee for user satisfaction. The performancedegradation occurs due to increasing in the utilization of Energy. The proposed system utilizes Virtual Machines (VM) anddoing server consolidation in a data center, by which a Cloud provider can reduce the total Energy consumption forservicing the clients as well as increasing the resource availability in the data center. Multiple copies of VMs are createdand place these copies on the servers by using dynamic programming to reduce the total energy consumption. Thecommunication parameters such as latency, bandwidth, and distance are considered in making the decision of assigningVMs to the servers. The algorithm is implemented with the help of the simulation tool (CloudSim) and the result obtainedfrom this reduces the energy utilization and also increases the performance.
关键词：CaaS; Remote Memory; Energy Efficiency; Virtual Machine; VM Assignment algorithm
